Data Engineer focusing on financial analytics in Melbourne, Australia. Implementing reporting processes and collaborating with stakeholders to gather requirements.
Responsibilities
Implement enhancements and changes to existing reporting processes to improve accuracy, performance, and usability
Design and develop new reporting pipelines and datasets aligned with business requirements
Automate of data delivery processes
Identify and implementation of automated data quality checks
Resolve of issues related to data quality
Collaborate with business stakeholders to gather reporting requirements, clarify logic, and ensure outputs meet expectations
Requirements
4+ years in analytics engineering or similar data-focused roles
Advanced PostgreSQL: stored procedures and functions, complex CTEs, window functions, SCD2 patterns, query plan analysis and optimisation
Strong understanding of data warehouse architecture: staging, core, and data mart layers; incremental load patterns; slowly changing dimensions
Hands-on experience with Apache Airflow: DAG authoring, scheduling, dependency management, and failure handling
Proficiency with Git (GitLab or GitHub) and JIRA
Experience designing and evolving data warehouse architecture and data models
Track record of building robust, maintainable ELT/ETL pipelines in production
Experience implementing automated data quality checks
Domain fluency in financial and trading concepts, with the ability to understand requirements and clearly explain implemented logic to business stakeholders
High degree of autonomy: able to reverse-engineer undocumented systems, identify root causes, and take end-to-end ownership of pipelines and calculation logic
Comfortable using AI-assisted development tools (e.g., Claude, Copilot, Cursor) to improve productivity
Benefits
Competitive compensation
A generous paid leave policy, supporting a healthy work–life balance
Two additional paid days per year dedicated to volunteering and giving back
Private medical insurance for your peace of mind
An additional flexible benefits budget, allowing you to tailor benefits to your needs
Flexible working mode
The opportunity to work from almost anywhere in the world for up to 30 days per year
Annual company-wide events held in locations around the globe
Data Engineer providing technical expertise on mission - critical NAVSUP OIS program. Work involves data architecture and database management in AWS GovCloud environments.
Senior Data Engineer focusing on data infrastructure for an AI - driven insurtech startup based in Nepal. Collaborating with teams to optimize data models and maintain data quality.
Senior Professional Consultant leading architecture and design for SAP BW and SAC solutions at Freudenberg. Collaborating with stakeholders and optimizing performance of data landscapes.
Senior Data Engineer designing and managing data architectures to transform large - scale data into insights for Humana. Involves leading technical discussions and implementing best data practices.
Data Engineer II at Early Warning Services developing data science tools and infrastructure. Collaborating on software enhancements and mentoring interns in a hybrid work environment.
Senior Data Architect responsible for optimizing data architecture and supporting data - driven business decisions at TruStage. Leading technical guidance for data architecture and cross - functional team collaboration.
Senior Data Architect developing data architecture plans at The Hartford, collaborating with internal teams to align data standards and practices. Leading complex solutions with a focus on operational effectiveness.
Senior Solution Architect defining architecture framework for SA‑CCR in regulatory risk. Collaborating with stakeholders to ensure compliance and efficient data governance.
Senior Data Engineer optimizing and designing data pipelines on AWS for The Rec Hub. Collaborating with the team to enhance data processing and mentorship.